Constraint satisfaction problems

Lecture "Fundamentals of optimization: Constraint programming" provides students with content about: Constraint satisfaction optimization problems; Constraint propagation; Branching and backtracking search;... Please refer to the detailed content of the lecture!

28p gaupanda031 20-05-2024 6 2   Download

Part 1 book "Artificial intelligence - A modern approach" includes content: Introduction, intelligent agents, solving problems by searching, beyond classical search, adversarial search, constraint satisfaction problems, logical agents, first order logic, inference in first order logic, classical planning, planning and acting in the real world, knowledge representation, quantifying uncertainty, probabilistic reasoning.

584p muasambanhan05 16-01-2024 6 1   Download

This approach required a significant amount of time for preprocessing and formulating a constraint satisfaction problem (CSP). To address this problem, we proposed a new algorithm based on a hash data structure which performs more quickly in itemsets filtering and problem modeling. Experiment evaluations are conducted on real world and synthetic datasets.

11p visystrom 22-11-2023 6 5   Download

Lecture "Artificial intelligence - Lesson 4: Constraint satisfaction problems" presents the following contents: constraint satisfaction problems (CSP); backtracking search for CSPs; local search for CSPs. We invite you to take a look at the content of the lecture.

40p phuong3676 23-06-2023 5 4   Download

Chapter 5: Constraint Satisfaction Problems. The main contents of this chapter include all of the following: CSP examples, backtracking search for CSPs, problem structure and problem decomposition, local search for CSPs.

7p cucngoainhan0 10-05-2022 16 3   Download

Lecture Artificial Intelligence - Chapter 5: Constraint Satisfaction Problems. The main contents of this chapter include all of the following: CSP examples, backtracking search for CSPs, problem structure and problem decomposition, local search for CSPs.

40p cucngoainhan0 10-05-2022 16 2   Download

Constrained optimization is an important task in civil engineering. The objective of this task is to determine a solution with the most desired objective function value that guarantees the satisfaction of constraints. The Differential Evolution (DE) is a powerful evolutionary algorithm for solving global optimization tasks.

5p vikiba2711 14-05-2020 20 0   Download

To provide basic services to the children as well as to the mothers for proper growth and development, the scheme of Integrated Child Development Services (ICDS) was initiated on 2nd October 1975. It was launched under the women and child development department to reduce the level of infant and child mortality rates. The grass root level workers who are called Anganwadi Workers (AWWs) provide the services of ICDS. The place where the services are provided is called Anganwadi.

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The technological development in the field of agriculture has broadened the need for farmers. This calls for the use of local leaders who can act as linkers between farmers, extension personnel and exercise influencing in bringing about accelerated adoption of technologies. The Krishak Mitra is also one type of leaders/opinion leaders and they communicate the recent technologies to farmers and also bring the problems of farmers to concerned authorities.

8p chauchaungayxua1 04-12-2019 23 1   Download

(bq) part 1 book "artificial intelligence - a modern approach" has contents: introduction, intelligent agents, solving problems by searching, beyond classical search, adversarial search, constraint satisfaction problems, logical agents, inference in first order logic, inference in first order logic,.... and other contents.

585p bautroibinhyen20 06-03-2017 89 16   Download

Lecture Algorithm design - Chapter 8 include all of the following: Poly-time reductions, packing and covering problems, constraint satisfaction problems, sequencing problems, partitioning problems, graph coloring, numerical problems.

76p youcanletgo_03 14-01-2016 50 3   Download

Chapter 3: Constraint satisfaction problems presents about What is a CSP? Posing a CSP; Generate-and-test-algorithms; Standard backtracking algorithm; Consistency algorithm; Look-ahead Schemes and somethings else.

55p cocacola_10 08-12-2015 57 1   Download

Chapter 7: Genetic Algorithms to Constraint Satisfaction Problems presents about What is a Genetic Algorithm? Components of GA; How does GA work? Constraint Handling in Gas; GA for 8-Queens Problems; GA for Exam Timetabling Problem; Memetic Algorithms.

61p cocacola_10 08-12-2015 38 1   Download

Backtracking = depth-first search with one variable assigned per node; variable ordering and value selection heuristics help significantly; forward checking prevents assignments that guarantee later failure; constraint propagation (e.g., arc consistency) does additional work to constrain values and detect inconsistencies; the CSPs representation allows analysis of problem structure.

22p lalala06 02-12-2015 68 3   Download

In this paper we present the tormal processing model of CLG, which has been influenced by the Constraint Logic Programming paradigm 18] 191.

6p buncha_1 08-05-2013 58 2   Download

We present a new grammatical formalism called Constraint Dependency G r a m m a r (CDG) in which every grammatical rule is given as a constraint on wordto-word modifications. CDG parsing is formalized as a constraint satisfaction problem over a finite domain so that efficient constraint-propagation algorithms can be employed to reduce structural ambiguity without generating individual parse trees. The weak generative capacity and the computational complexity of CDG parsing are also discussed.

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In this paper I will consider parsing as a discrete combinatorial problem which consists in constructing a labeled graph that satisfies a set of linguistic constraints. I will identify some properties of linguistic constraints which allow this problem to be solved efficiently using constraint satisfaction algorithms. I then describe briefly a modular parsing algorithm which constructs a syntactic graph using a set of generative operations and applies a filtering algorithm to eliminate inconsistent nodes and edges. ...

2p bunmoc_1 20-04-2013 39 1   Download

We propose a novel approach to constraint-based type inference based on coinductive logic. Constraint generation corresponds to translation into a conjunction of Horn clauses P, and constraint satisfaction is defined in terms of the coinductive Herbrand model of P. We illustrate the approach by formally defining this translation for a small object-oriented language similar to Featherweight Java, where type annotations in field and method declarations can be omitted.

330p hotmoingay 03-01-2013 54 5   Download

In real-world optimization applications, stakeholders require multiple and complex constraints, which are difficult to satisfy and make complicated to find satisfactory solutions. In the most cases, we face over-constrained optimization problems (no satisfactory solution can be found) because of the stakeholders’ multiple requirements and the various and complex constraints to be satisfied. Solving over-constrained problems is based on the relaxation of some constraints according to values of preferences in order to favour the satisfaction of the most relevant....

294p bi_bi1 11-07-2012 104 8   Download